Results 11 to 20 of about 1,945,580 (301)
Wavelet Thresholding Risk Estimate for the Model with Random Samples and Correlated Noise
Signal de-noising methods based on threshold processing of wavelet decomposition coefficients have become popular due to their simplicity, speed, and ability to adapt to signal functions with spatially inhomogeneous smoothness. The analysis of the errors
Oleg Shestakov
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Extremes of autoregressive threshold processes [PDF]
In this paper we study the tail and the extremal behaviors of stationary solutions of threshold autoregressive (TAR) models. It is shown that a regularly varying noise sequence leads in general to only an O-regularly varying tail of the stationary solution.
Brachner, C., Fasen, V., Lindner, A.
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Feature selection is a pre-processing technique used to remove unnecessary characteristics, and speed up the algorithm's work process. A part of the technique is carried out by calculating the information gain value of each dataset characteristic.
Maria Irmina Prasetiyowati +2 more
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Branching processes in random environments with thresholds
AbstractMotivated by applications to COVID dynamics, we describe a model of a branching process in a random environment $\{Z_n\}$ whose characteristics change when crossing upper and lower thresholds. This introduces a cyclical path behavior involving periods of increase and decrease leading to supercritical and subcritical regimes.
Giacomo Francisci, Anand N. Vidyashankar
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Generalized Belief Propagation Algorithms for Decoding of Surface Codes [PDF]
Belief propagation (BP) is well-known as a low complexity decoding algorithm with a strong performance for important classes of quantum error correcting codes, e.g.
Josias Old, Manuel Rispler
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Research of mine-used radar material level monitoring device
In view of shortcomings of bad anti-interference and low reliability existed in ultrasonic measurement method for coal level measurement, a mine-used radar material level monitoring device was designed. The device transmits high frequency electromagnetic
YE Jinjiao
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Denoising Method of dbN Wavelet Threshold for Die Repair Hammer Force Signals
In order to solve the problem that the noise of the hammer power signal in mold repair is large, the dbN wavelet (abbreviation of Daubechies, N is the wavelet order) is used to reconstruct the hammer force signal according to the obtained low frequency ...
LIU Li-jun +4 more
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Peak-over-threshold estimators for spectral tail processes: random vs deterministic thresholds [PDF]
The extreme value dependence of regularly varying stationary time series can be described by the spectral tail process. Drees, Segers and Warchol [Extremes 18(3): 369--402, 2015] proposed estimators of the marginal distributions of this process based on exceedances over high deterministic thresholds and analyzed their asymptotic behavior.
Holger Drees, Miran Knežević
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Development of a video-rate range finder using dynamic threshold method for characteristic point detection [PDF]
This study develops a video-rate stereo range finding circuit to obtain the depth of objects in a scene by processing video signals (R, G, B, and brightness signals) from binocular CCD cameras. The electronic circuit implements a dynamic threshold method
Gofuku, Akio +3 more
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Vestibular Perception following Acute Unilateral Vestibular Lesions. [PDF]
Little is known about the vestibulo-perceptual (VP) system, particularly after a unilateral vestibular lesion. We investigated vestibulo-ocular (VO) and VP function in 25 patients with vestibular neuritis (VN) acutely (2 days after onset) and after ...
A Palermo +54 more
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